Michael Berkwits
Impact in
- General Dentistry top 5%
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- Health Policy Implementation Science 1
- Patient Satisfaction in Healthcare 1
- Co-authors
- Angel N. Desai (1 shared paper)Edward H. Livingston (1 shared paper)Thomas S. Inui (1 shared paper)Frank Davidoff (1 shared paper)Joel G. Ray (1 shared paper)Fang Liu (1 shared paper)JA Wagner (1 shared paper)Eseng Lai (1 shared paper)
- Journals
- JAMA (3 papers)New England Journal of Medicine (2 papers)The Journal of Law Medicine & Ethics (1 paper)Clinical Chemistry (1 paper)Journal of General Internal Medicine (1 paper)
- Partner nations
- United StatesCanadaSingapore
In The Last Decade
Michael Berkwits
12 papers receiving 823 citations
Michael Berkwits's Hit Papers
Peers
Comparison fields: 5 of 142
- General Dentistry 22
- Modeling and Simulation 38
- Emergency Medical Services 40
- Health Informatics 7
- Statistics, Probability and Uncertainty 38
Countries citing papers authored by Michael Berkwits
This map shows the geographic impact of Michael Berkwits's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Berkwits with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Berkwits more than expected).
Fields of papers citing papers by Michael Berkwits
This network shows the impact of papers produced by Michael Berkwits. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Berkwits. The network helps show where Michael Berkwits may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Berkwits, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Sourcing Personal Protective Equipment During the COVID-19 Pandemic Hit paper breakdown → | 2020 | 454 |
| 2 | 2007 | 110 | |
| 3 | 1998 | 103 | |
| 4 | 2016 | 71 | |
| 5 | 2000 | 54 | |
| 6 | 1998 | 30 | |
| 7 | 2018 | 21 | |
| 8 | 2020 | 7 | |
| 9 | 2019 | 5 | |
| 10 | 1999 | 1 | |
| 11 | 2001 | 1 | |
| 12 | 1995 | 1 | |
| 13 | The Merck manual of health & aging | 2012 | 1 |
About Michael Berkwits
Michael Berkwits is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health, Pharmacology, Psychiatry and Mental health and Infectious Diseases, having authored 13 papers that have together received 859 indexed citations. Recurring topics across this work include Pharmaceutical industry and healthcare (2 papers), Empathy and Medical Education (2 papers), Health Policy Implementation Science (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), Patient Satisfaction in Healthcare (1 paper), Academic Publishing and Open Access (1 paper), Hormonal and reproductive studies (1 paper) and COVID-19 and healthcare impacts (1 paper). The work is most often cited by research in General Dentistry (22 citations), Modeling and Simulation (38 citations), Emergency Medical Services (40 citations), Health Informatics (7 citations) and Statistics, Probability and Uncertainty (38 citations). Michael Berkwits has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Angel N. Desai, Edward H. Livingston, Thomas S. Inui, Frank Davidoff, Joel G. Ray, Fang Liu, JA Wagner, Eseng Lai, Gary P. O’Neill and Eva Vets. Their work appears in journals such as JAMA, New England Journal of Medicine, The Journal of Law Medicine & Ethics, Clinical Chemistry and Journal of General Internal Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.